The Department of Psychiatry at Columbia University Irvine Medical Center seeks a highly qualified and a motivated postdoctoral research associate to conduct method development and data analysis focused on genomics of complex human traits and brain-related disorders. The role involves applying statistical, computational, and machine learning methods to large-scale genomic and phenotypic datasets from clinical cohorts
and population biobanks. The successful candidate will analyze whole-genome sequencing data and gene expression data alongside rich multimodal phenotypes to study the effects of common, rare, and structural genetic variation. The work aims to identify genetic risk factors, relevant genes, and biological pathways underlying psychiatric conditions. The position is embedded in an interdisciplinary, collaborative
research environment and is suitable for candidates pursuing academic or industry research careers. Visa sponsorship may be available. Job Function : Develop and apply scalable statistical, computational, and machine learning methods for large-scale genomic and phenotypic data. Build, document, and maintain robust, reproducible analysis pipelines. Participate and eventually lead research projects from conception to
publication. Collaborat with computational and clinical researchers to interpret results. Prepare manuscripts for peer review publication and present findings at scientific meetings. Mentor junio researchers and contribute to group activities. Advance by obtaining grant support for transaction to faculty appointment. Lab Mission/Purpose: The research team, led by J. John Mann, MD, Paul Janssen Professor of
Translational Neuroscience (in Psychiatry and in Radiology), investigates the neurobiological foundations of mood disorders and suicidal behavior. Integrating functional brain imaging, neurochemistry, molecular genetics, and neuropathology, the team seeks to identify biomarkers and causal mechanisms underlying depression and suic
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